Spatio-Temporal Analysis of the Roadside Transportation-Related Air Quality (StarTraq 2022): Data-Driven Exposure Analysis by Transportation Modes [Research Brief]

Details

• Creators:
  Kwon, Jaymin ; Ahn, Yushin ; Chung, Steve
• Corporate Creators:
  San Jose State University. College of Business. Mineta Transportation Institute
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; State of California SB1 2017/2018, Trustees of the California State University Sponsored Programs Administration
• Subject/TRT Terms:
  • Air quality
  • Bicycle lanes
  • Bikeways
  • Highways
  • Particulates
  • Spatial analysis
  • Pollutants
  • Meteorology
  • Transportation modes
  • Regression analysis Transportation-related air pollutant exposure
  More +
• Publication/ Report Number:
  2220
• Resource Type:
  Brief
• Geographical Coverage:
  California;United States
• Edition:
  Research Brief
• Corporate Publisher:
  San Jose State University. College of Business. Mineta Transportation Institute
• Abstract:
  Particulate matter (PM), a major component of air pollution, poses significant health risks globally and contributes to millions of deaths annually. This study focuses on Fresno, California, investigating how meteorological factors affect PM levels, such as temperature, humidity, wind speed, and direction. It aims to collect mobile air quality data to analyze spatial variations of transportation-related PM2.5 and assess the inhalation risk in different scenarios.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/75861/dot_75861_DS1.pdf
• File Type:
  [PDF - 689.14 KB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:bbd5c18ac0ecc9d54a6b82c7c048bcf3b462f46bc97e6cd69214f324cacb77573b6391e897968e561a749f72e52010a271d65a62ec30f2d52d7bb32f4e55075b